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Join Computer Science at the University of Reading and put yourself at the forefront of scientific discovery and the heart of economic growth. The world needs computer scientists – and we are training the next generation.

We are at a new frontier of knowledge – in the next year more computational data will be generated than ever before. Study, work, or collaborate with us and help drive the digital transformation of our society and culture.

A CAREER WHERE ANYTHING IS POSSIBLE

Computer Science attracts independent thinkers. It's perfect for inventive problem-solvers – and those who love mastering new technology. Society's ability to generate data is growing exponentially, and this wealth of information requires research, technology, and people with ingenuity and drive.

THE HEART OF THE UK'S IT SECTOR

Reading has the highest density of digital tech businesses of any UK town or city, which means our students, lecturers and researchers are ideally placed to connect directly from some of the biggest companies in the industry. High-tech and IT giants – such as Microsoft, Oracle, Cisco Systems, Hewlett Packard (HP) and Intel – have their UK or European headquarters within a 10-mile radius of the University of Reading. Many of these companies have provided active input into our teaching, ensuring the skills we pass on are relevant to the needs of the IT industry. A number of our students have taken up work experience or a professional placement year locally as part of their degree.

The £35 million ‘Gateway’ building of the University-owned Thames Valley Science Park complements the existing density of digital tech companies and provides flexible office and laboratory space, and high-speed digital infrastructure, for around 20 technology-led companies.

explore Our research expertise

Our Department of Computer Science is undertaking research in themes which are often overlapping and synergic. These themes include advanced computing for environmental science; computational issues of perception and reasoning in relation to image interpretation; machine learning, data mining and big data analytics.

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